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When I was using the GPU acceleration feature of RL-GO, I encountered ERROR 50163: Internal Feko error. My model has been meshed using flat triangles, and the rays of RL-GO have been set to the "Fixed grid increments" mode. As far as I know, these two settings meet the requirements for GPU acceleration of RL-GO. However,…
I'm currently using Polyfoam 2024 for simulations, but it's only utilizing my CPU and the process is quite slow. I have an RTX 3050 GPU and I'd like to know how I can configure Polyfoam 2024 to use my GPU for simulations to speed up the process. I am using Student Edition License. Any guidance or steps to get this set up…
Hi, I'd like to get energy loss after simulation by GPU. I think currrent .dill file that we use for getting energy loss is available only CPU calculation. Do you have any idea to get it with GPU calculation.
Is there a way the "Explain Predictions" Operator could benefit from gpu (NVIDIA RTX A4000 with CUDA installed)?
Hello RapidMiner community, I have faced a graphical (UI) issue when working a bit in RapidMiner, the problem is that whenever I do some tasks on RapidMiner, it shows the below like interface: and it just gets worse anytime I hover the mouse over something within the UI, however, I tried to disable the graphic card, and…
Hello, I try to activate the GPU backend at a Windows11 AMD with RTX3060 GPU Notebook. I installed cuda 10.1 and cudnn 7.6. The cudart64_101.dll I am not sure where to place. deviceQuery.exe gives: CUDA Driver = CUDART, CUDA Driver Version = 11.4, CUDA Runtime Version = 10.1, NumDevs = 1, Device0 = NVIDIA GeForce RTX 3060…
If I have deep learning code written in Keras and in python, can I execute the code in GPU in enterprise edition? In some of the documentation it's mentioned GPU works only with DeepLearnig operator, does it mean it doesn't work with plain Python code for Deep learning
I have an RTX 2060, and I tried changing the backend to GPU-CUDA. Rapidminer says "The Backend GPU-CUDA is not available. Please install the necessary utilities and restart rapidminer". My GPU works well with everything else, except RM. I have an educational license if that helps.
I can see in the new version of the Deep Learning extension the requirement for CUDA 10.0. However the new Tensorflow, which I also use on my system, requires CUDA 10.1+ and runs with the newest one too, which is CUDA 10.2. The release notes for the extension suggest to contact RM for assistance. As it is, the preferences…
Hi, I switched Deep learning to use GPU instead of CPU(1 core), but this runs slower. I see that the GPU utilization is very less (2 to 3%) while the process is running. When I use CPU the CPU utilization is 70% approx. I am using a batch size of 32. Is it because of the smaller batch size? Thanks, Varun
Overview: Short pdf with a collection of information, exercises and tools to bring you up and running especially - but not only - as experienced user of the classic HyperMesh interface: Slide #2: Finding your Tools and Functionality Slide #3: Getting Started through Youtube exercises Slide #4: Further Sources of Information
Hi Everyone, We have some exciting sessions lined up for August and the rest of the year. New sessions are also added to the exciting Power Conversion and Magnetic Chat series. Register Now! Summary of our Upcoming Events: MotionView/MotionSolve 2025.1 for Vehicle Dynamics [ August 27] - Learn about the latest advancements…
🚀 Altair RISE Program We're excited to launch an exclusive 6-month program designed to recognize and reward our most engaged community members! Whether you're answering questions, sharing solutions, or participating in discussions, RISE gives you recognition in the community while helping you grow your expertise. Progress…
The Community Team would like to introduce the August Champion of the Month, Dr. R. B. B. Ovando. Dr. Ovando is a researcher and engineer working at the intersection of electromagnetism, heat transfer, fluid dynamics, materials (stress, mechanical and physical metallurgy), and numerical simulation. His work combines finite…
Hi Everyone, Sorry for the delay on our August roundup! Its been a busy month, but we didn't want to miss highlighting all the great activity in our community. 📢Introducing the Altair RISE Program Get ready for something special! Our RISE Program(Recognition for Innovation, Solutions & Expertise) officially launched in…
